“You can tweak your models all you want but if your data at the beginning is wrong, then no matter how good your model is, you won’t get the end resource that you want."
“Getting started with Encord and integrating it into our workflow was really fast. The thing that I find the most valuable is the flexibility of how we can integrate the Encord pipeline into our own pipeline, we use the Python SDK a lot."
Arize AI is a machine learning observability platform to help unpack the proverbial AI black box. Their solutions provide ML teams the tools they need to understand whether their models are performing as expected in production and quickly get to the cause behind issues that emerge.
Superwise is a model observability platform built for high-scale production ML. The platform is fully automated and automatically configures model metrics and analyzes anomalies to cut through statistical noise, create context, and focus teams on real issues impacting business operations. Giving practitioners fully automated, enterprise-grade model observability capabilities and monitoring customization, but with SaaS self-service control, in 5 minutes.
WhyLabs was started at the Allen Institute for AI by Amazon Machine Learning alums Alessya Visnjic, Sam Gracie, and Andy Dang, together with Maria Karaivanova, former Cloudflare executive. They are privately-held, venture-funded company based in Seattle. WhyLabs, they have their eyes set on an ambitious goal: to build the interface between humans and AI applications. They are starting with AI Observability. As teams across industries adopt AI, their Platform enables them to operate with certainty by providing model monitoring, preventing costly model failures, and facilitating cross-functional collaboration.